Humans rely on abstraction and conceptual frameworks, whereas AI systems apply statistical or rule-based methods, each with ...

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

Knowledge representation and query answering constitute foundational elements in modern computational science, facilitating the transformation of raw data into structured, machine-interpretable ...

Here at Ars, we've done plenty of coverage of the errors and inaccuracies that LLMs often introduce into their responses. Now, the BBC is trying to quantify the scale of this confabulation problem, at ...

Chief financial officers (CFOs) and finance leaders grappling with the volume and pace of AI developments in corporate finance should focus on three areas in the near term, according to Gartner. “The ...

“Different approaches and solutions are developing for copyright holders to protect their rights, and for AI developers to respect their regulatory obligations.” – EUIPO report The EUIPO report was ...